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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2106.13593 |
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| _version_ | 1866909105393762304 |
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| author | Ai, Xiaocong Allaire, Corentin Calace, Noemi Czirkos, Angéla Ene, Irina Elsing, Markus Farkas, Ralf Gagnon, Louis-Guillaume Garg, Rocky Gessinger, Paul Grasland, Hadrien Gray, Heather M. Gumpert, Christian Hrdinka, Julia Huth, Benjamin Kiehn, Moritz Klimpel, Fabian Krasznahorkay, Attila Langenberg, Robert Leggett, Charles Niermann, Joana Osborn, Joseph D. Salzburger, Andreas Schlag, Bastian Tompkins, Lauren Yamazaki, Tomohiro Yeo, Beomki Zhang, Jin Mania, Georgiana Kolbinger, Bernadette Moyse, Edward Rousseau, David |
| author_facet | Ai, Xiaocong Allaire, Corentin Calace, Noemi Czirkos, Angéla Ene, Irina Elsing, Markus Farkas, Ralf Gagnon, Louis-Guillaume Garg, Rocky Gessinger, Paul Grasland, Hadrien Gray, Heather M. Gumpert, Christian Hrdinka, Julia Huth, Benjamin Kiehn, Moritz Klimpel, Fabian Krasznahorkay, Attila Langenberg, Robert Leggett, Charles Niermann, Joana Osborn, Joseph D. Salzburger, Andreas Schlag, Bastian Tompkins, Lauren Yamazaki, Tomohiro Yeo, Beomki Zhang, Jin Mania, Georgiana Kolbinger, Bernadette Moyse, Edward Rousseau, David |
| contents | The reconstruction of the trajectories of charged particles, or track reconstruction, is a key computational challenge for particle and nuclear physics experiments. While the tuning of track reconstruction algorithms can depend strongly on details of the detector geometry, the algorithms currently in use by experiments share many common features. At the same time, the intense environment of the High-Luminosity LHC accelerator and other future experiments is expected to put even greater computational stress on track reconstruction software, motivating the development of more performant algorithms. We present here A Common Tracking Software (ACTS) toolkit, which draws on the experience with track reconstruction algorithms in the ATLAS experiment and presents them in an experiment-independent and framework-independent toolkit. It provides a set of high-level track reconstruction tools which are agnostic to the details of the detection technologies and magnetic field configuration and tested for strict thread-safety to support multi-threaded event processing. We discuss the conceptual design and technical implementation of ACTS, selected applications and performance of ACTS, and the lessons learned. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2106_13593 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | A Common Tracking Software Project Ai, Xiaocong Allaire, Corentin Calace, Noemi Czirkos, Angéla Ene, Irina Elsing, Markus Farkas, Ralf Gagnon, Louis-Guillaume Garg, Rocky Gessinger, Paul Grasland, Hadrien Gray, Heather M. Gumpert, Christian Hrdinka, Julia Huth, Benjamin Kiehn, Moritz Klimpel, Fabian Krasznahorkay, Attila Langenberg, Robert Leggett, Charles Niermann, Joana Osborn, Joseph D. Salzburger, Andreas Schlag, Bastian Tompkins, Lauren Yamazaki, Tomohiro Yeo, Beomki Zhang, Jin Mania, Georgiana Kolbinger, Bernadette Moyse, Edward Rousseau, David Instrumentation and Detectors High Energy Physics - Experiment The reconstruction of the trajectories of charged particles, or track reconstruction, is a key computational challenge for particle and nuclear physics experiments. While the tuning of track reconstruction algorithms can depend strongly on details of the detector geometry, the algorithms currently in use by experiments share many common features. At the same time, the intense environment of the High-Luminosity LHC accelerator and other future experiments is expected to put even greater computational stress on track reconstruction software, motivating the development of more performant algorithms. We present here A Common Tracking Software (ACTS) toolkit, which draws on the experience with track reconstruction algorithms in the ATLAS experiment and presents them in an experiment-independent and framework-independent toolkit. It provides a set of high-level track reconstruction tools which are agnostic to the details of the detection technologies and magnetic field configuration and tested for strict thread-safety to support multi-threaded event processing. We discuss the conceptual design and technical implementation of ACTS, selected applications and performance of ACTS, and the lessons learned. |
| title | A Common Tracking Software Project |
| topic | Instrumentation and Detectors High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2106.13593 |